A Narrative Review on Internet of Things and Artificial Intelligence for Poultry Production

Recently, poultry production has increased worldwide to address the increasing demand of affordable animal-sourced protein. To meet this requirement, poultry production operations have become more concentrated, introducing management challenges related to disease control, productivity, and animal welfare. However, manual flock monitoring and management have become impractical in such cases, creating a need for automatic data-driven management approaches. In this context, the Internet of Things (IoT) has emerged as a potential technological solution for continuous flock monitoring, data sharing, and decision-making. Despite this, its adoption in poultry production is limited compared with its widespread use in crop production, transportation, and manufacturing industrial sectors. Furthermore, advanced analytical techniques such as artificial intelligence (AI), applied to data gathered by IoT-enabled devices, have shown promising results by generating actionable information. Existing literature suggests that the integration of IoT and AI can address the major challenges associated with modern large-scale poultry production systems. While most applications remain at the research scale, such technologies have the potential for improving flock monitoring, enhancing productivity, and ensuring proper animal welfare. This narrative review examines the current state of IoT and AI based technologies, together or in part identifies the limitations, research gaps, and opportunities for future development.

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Publication Details

Journal
Animals
Published
2026-04-22
DOI
https://doi.org/10.3390/ani16091285
Primary Topic
Food Supply Chain Traceability
Type
article
Field-Weighted Citation Impact
0.00

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article

A Narrative Review on Internet of Things and Artificial Intelligence for Poultry Production

Bidur Paneru, Lilong Chai, Samin Dahal, Anjan Dhungana
Animals
Food Supply Chain Traceability
article

A Narrative Review on Internet of Things and Artificial Intelligence for Poultry Production

Bidur Paneru, Lilong Chai, Samin Dahal, Anjan Dhungana
article en

Abstract

Recently, poultry production has increased worldwide to address the increasing demand of affordable animal-sourced protein. To meet this requirement, poultry production operations have become more concentrated, introducing management challenges related to disease control, productivity, and animal welfare. However, manual flock monitoring and management have become impractical in such cases, creating a need for automatic data-driven management approaches. In this context, the Internet of Things (IoT) has emerged as a potential technological solution for continuous flock monitoring, data sharing, and decision-making. Despite this, its adoption in poultry production is limited compared with its widespread use in crop production, transportation, and manufacturing industrial sectors. Furthermore, advanced analytical techniques such as artificial intelligence (AI), applied to data gathered by IoT-enabled devices, have shown promising results by generating actionable information. Existing literature suggests that the integration of IoT and AI can address the major challenges associated with modern large-scale poultry production systems. While most applications remain at the research scale, such technologies have the potential for improving flock monitoring, enhancing productivity, and ensuring proper animal welfare. This narrative review examines the current state of IoT and AI based technologies, together or in part identifies the limitations, research gaps, and opportunities for future development.

AnimalsVol. 16(9)
University of Georgia (US)
U.S. Department of Agriculture, Georgia Research Alliance, National Institute of Food and Agriculture
Openalex Percentile: Top 9%
Food Supply Chain Traceability
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